Detecting Spam at the Network Level

Anna Sperotto; G. Vliek; R. Sadre; Aiko Pras

doi:10.1007/978-3-642-03700-9_22

Detecting Spam at the Network Level

Anna Sperotto, G. Vliek, R. Sadre, Aiko Pras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

10 Citations (Scopus)

187 Downloads (Pure)

Abstract

Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a commonly deployed countermeasure, but the current research focus is now moving towards the early detection of spamming hosts. This paper investigates if spammers can be detected at the network level, based on just flow data. This problem is challenging, since no information about the content of the email message is available. In this paper we propose a spam detection algorithm, which is able to discriminate between benign and malicious hosts with 92% accuracy.

Original language	Undefined
Title of host publication	Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop, EUNICE 2009
Place of Publication	Berlin
Publisher	Springer
Pages	208-216
Number of pages	9
ISBN (Print)	978-3-642-03699-6
DOIs	https://doi.org/10.1007/978-3-642-03700-9_22
Publication status	Published - 26 Aug 2009
Event	15th Open European Summer School and IFIP TC6.6 Workshop 2009 - Barcelona, Spain Duration: 7 Sep 2009 → 9 Sep 2009 Conference number: 15 http://www.nets.upf.edu/pages/eunice09/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	5733
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	15th Open European Summer School and IFIP TC6.6 Workshop 2009
Abbreviated title	EUNICE 2009
Country/Territory	Spain
City	Barcelona
Period	7/09/09 → 9/09/09
Internet address	http://www.nets.upf.edu/pages/eunice09/

Keywords

IR-67583
EWI-16007
METIS-263998

Access to Document

10.1007/978-3-642-03700-9_22

Cite this

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title = "Detecting Spam at the Network Level",

abstract = "Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a commonly deployed countermeasure, but the current research focus is now moving towards the early detection of spamming hosts. This paper investigates if spammers can be detected at the network level, based on just flow data. This problem is challenging, since no information about the content of the email message is available. In this paper we propose a spam detection algorithm, which is able to discriminate between benign and malicious hosts with 92% accuracy.",

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Sperotto, A, Vliek, G, Sadre, R & Pras, A 2009, Detecting Spam at the Network Level. in Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop, EUNICE 2009., 10.1007/978-3-642-03700-9_22, Lecture Notes in Computer Science, vol. 5733, Springer, Berlin, pp. 208-216, 15th Open European Summer School and IFIP TC6.6 Workshop 2009, Barcelona, Spain, 7/09/09. https://doi.org/10.1007/978-3-642-03700-9_22

Detecting Spam at the Network Level. / Sperotto, Anna; Vliek, G.; Sadre, R. et al.

Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop, EUNICE 2009. Berlin : Springer, 2009. p. 208-216 10.1007/978-3-642-03700-9_22 (Lecture Notes in Computer Science; Vol. 5733).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Sadre, R.

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